Literature DB >> 32200093

Mobile Brain/Body Imaging of cognitive-motor impairment in multiple sclerosis: Deriving EEG-based neuro-markers during a dual-task walking study.

Pierfilippo De Sanctis1, Brenda R Malcolm2, Peter C Mabie3, Ana A Francisco2, Wenzhu B Mowrey4, Sonja Joshi2, Sophie Molholm5, John J Foxe5.   

Abstract

OBJECTIVE: Individuals with a diagnosis of multiple sclerosis (MS) often present with cognitive and motor deficits, and thus the ability to perform tasks that rely on both domains may be particularly impaired. Yet, dual-task walking studies yield mixed results. Individual variance in the ability to cope with brain insult and mobilize additional brain resources may contribute to mixed findings.
METHODS: To test this hypothesis, we acquired event-related potentials (ERP) in individuals with MS and healthy controls (HCs) performing a Go/NoGo task while sitting (i.e., single task) or walking (i.e., dual-task) and looked at the relationship between task related modulation of the brain response and performance.
RESULTS: On the Go/NoGo task the MS group showed dual-task costs when walking, whereas HCs showed a dual-task benefit. Further, whereas the HC group showed modulation of the brain response as a function of task load, this was not the case in the MS group. Analysis for the pooled sample revealed a positive correlation between load-related ERP effects and dual-task performance.
CONCLUSIONS: These data suggest a neurophysiological marker of cognitive-motor dysfunction in MS. SIGNIFICANCE: Understanding neural processes underlying dual-task walking will help identify objective brain measurements of real-world issues and may improve assessment of MS.
Copyright © 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dual-task walking; EEG; Mobile Brain/Body Imaging (MoBI); Multiple sclerosis

Mesh:

Year:  2020        PMID: 32200093      PMCID: PMC7196176          DOI: 10.1016/j.clinph.2020.01.024

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  60 in total

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